Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.5 k=511 Clustering
clusterdp 0.737 k=8
dc=0.8719264318015347
Clustering
AGNES 0.25 method=average
metric=euclidean
k=498
Clustering
c-Means 0.333 k=505
m=3.5
Clustering
k-Medoids (PAM) 0.0 k=507 Clustering
DIANA 0.0 metric=euclidean
k=511
Clustering
DBSCAN 0.736 eps=0.8719264318015347
MinPts=494
Clustering
Hierarchical Clustering 0.0 method=average
k=509
Clustering
fanny 0.659 k=224
membexp=2.0
Clustering
clusterONE 0.736 s=137
d=0.7666666666666667
Clustering
Affinity Propagation 0.727 dampfact=0.845
preference=0.9039448238511512
maxits=4250
convits=350
Clustering
Markov Clustering 0.736 I=3.7281281281281284 Clustering
Transitivity Clustering 0.235 T=1.0000000000000002 Clustering
MCODE 0.727 v=0.0
cutoff=0.9946636013250642
haircut=F
fluff=T
Clustering